Diligent Engine

A Modern Cross-Platform Low-Level 3D Graphics Library

Diligent Engine is a lightweight cross-platform graphics API abstraction library and rendering framework. It is designed to take full advantage of Direct3D12, Vulkan and Metal, while supporting older platforms via Direct3D11, OpenGL and OpenGLES. Diligent Engine exposes common front-end API and uses HLSL as universal shading language on all platforms and rendering back-ends. Platform-specific shader representations (GLSL, DX bytecode or SPIRV) can be used with corresponding back-ends. The engine is intended to be used as graphics subsystem in a game engine or any other 3D application. It is distributed under Apache 2.0 license and is free to use.

Features

Cross-platform
- Exact same client code for all supported platforms and rendering backends
  - No #if defined(_WIN32) ... #elif defined(LINUX) ... #elif defined(ANDROID) ...
  - No #if defined(D3D11) ... #elif defined(D3D12) ... #elif defined(OPENGL) ...
- Exact same HLSL shaders (VS, PS, GS, HS, DS, CS) run on all platforms and all back-ends
High performance
Modular design
- Components are clearly separated logically and physically and can be used as needed
- Only take what you need for your project
Clear object-based interface
- No hidden global states
Key graphics features:
- Automatic shader resource binding designed to leverage next-generation graphics APIs
- Multithreaded command buffer generation
  - 50,000 draw calls at 300 fps with D3D12/Vulkan backend
- Multithreaded resource creation
- Automatic or explicit control over resource state transitions
- Descriptor and memory management
- Shader resource reflection
Extensive validation and error reporting
Modern c++ features to make code fast and reliable

High-level Rendering components

Supported Plaforms and Low-Level Graphics APIs

Platform	APIs	Build Status
Win32 (Windows desktop)	Direct3D11, Direct3D12, OpenGL4.2+, Vulkan
Universal Windows	Direct3D11, Direct3D12
Linux	OpenGL4.2+, Vulkan
Android	OpenGLES3.0+
MacOS	OpenGL4.1, Vulkan (via MoltenVK)
iOS	OpenGLES3.0, Vulkan (via MoltenVK)

Cloning the Repository

This is the master repository that contains four submodules. To get the repository and all submodules, use the following command:

git clone --recursive https://github.com/DiligentGraphics/DiligentEngine.git

When updating existing repository, don't forget to update all submodules:

git pull
git submodule update --recursive

It is also a good idea to re-run CMake and perform clean rebuild after getting the latest version.

Repository Structure

Master repository includes the following submodules:

Core submodule implements Direct3D11, Direct3D12, OpenGL/GLES, and Vulkan back-ends. The module is self-contained and can be built by its own.
Tools submodule contains texture loading library and Render Script, a Lua-based run-time graphics resource managing system. Tools module depends on Core module.
DiligentFX is a high-level rendering framework that implements various rendering components. The module depends on Core and Tools modules.
Samples submodule contains several simple graphics applications intended to demonstrate the usage of the Diligent Engine API. The module depends on Core, Tools and DiligentFX modules.

Build and Run Instructions

Diligent Engine uses CMake as a cross-platform build tool. To start using cmake, download the latest release (3.13 or later is required). Another build prerequisite is Python interpreter.

Win32

To generate build files for Windows desktop platform, use either CMake GUI or command line tool. For example, to generate Visual Studio 2017 64-bit solution and project files in cmk_build/Win64 folder, navigate to the engine's root folder and run the following command:

cmake -H. -B./cmk_build/Win64 -G "Visual Studio 15 2017 Win64"

You can generate Win32 solution that targets Win8.1 SDK using the following command:

cmake -D CMAKE_SYSTEM_VERSION=8.1 -H. -B./cmk_build/Win64 -G "Visual Studio 15 2017 Win64"

If you use MinGW, you can generate the make files using the command below (please be aware of some known build issues):

cmake -H. -B./cmk_build/MinGW -G "MinGW Makefiles"

WARNING! In current implementation, full path to cmake build folder must not contain white spaces.

To enable Vulkan validation layers, you will need to download Vulkan SDK and add environemt variable VK_LAYER_PATH that contains path to the Bin directory in VulkanSDK installation folder.

Make sure that Visual C++ ATL Support is installed via Visual Studio Installer.

Open DiligentEngine.sln file in cmk_build/Win64 folder, select configuration and build the engine. Set the desired project as startup project (by default, GLTF Viewer will be selected) and run it.

By default, sample and tutorial applications will show rendering backend selection dialog box. Use the following command line options to force D3D11, D3D12, OpenGL, or Vulkan mode: -mode D3D11, -mode D3D12, -mode GL, or -mode Vk. If you want to run an application outside of Visual Studio environment, the application's assets folder must be set as working directory. (For Visual Studio, this is automatically configured by CMake). Alternatively, you can navigate to the build target or install folder and run the executable from there.

Universal Windows Platform

To generate build files for Universal Windows platform, you need to define the following two cmake variables:

CMAKE_SYSTEM_NAME=WindowsStore
CMAKE_SYSTEM_VERSION=< Windows SDK Version >

For example, to generate Visual Studio 2017 64-bit solution and project files in cmk_build/UWP64 folder, run the following command from the engine's root folder:

cmake -D CMAKE_SYSTEM_NAME=WindowsStore -D CMAKE_SYSTEM_VERSION=10.0 -H. -B./cmk_build/UWP64 -G "Visual Studio 15 2017 Win64"

You can target specific SDK version by refining CMAKE_SYSTEM_VERSION, for instance:

cmake -D CMAKE_SYSTEM_NAME=WindowsStore -D CMAKE_SYSTEM_VERSION=10.0.16299.0 -H. -B./cmk_build/UWP64 -G "Visual Studio 15 2017 Win64"

Set the desired project as startup project (by default, GLTF Viewer will be selected) and run it.

By default, appplications will run in D3D12 mode. You can select D3D11 or D3D12 using the following command line options: -mode D3D11, -mode D3D12.

Note: it is possible to generate solution that targets Windows 8.1 by defining CMAKE_SYSTEM_VERSION=8.1 cmake variable, but it will fail to build as it will use Visual Studio 2013 (v120) toolset that lacks proper c++11 support.

Linux

Your Linux environment needs to be set up for c++ development. If it already is, make sure your c++ tools are up to date as Diligent Engine uses modern c++ features (gcc/g++ 7 or later is recommended). You may need to install the following packages:

gcc, make and other essential c/c++ tools:

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install build-essential

cmake

sudo apt-get install cmake

Other required packages:

sudo apt-get install libx11-dev
sudo apt-get install mesa-common-dev
sudo apt-get install mesa-utils
sudo apt-get install libgl-dev

To configure Vulkan you will also need to:

Install latest Vulkan drivers and libraries for your GPU
Install Vulkan SDK
- To make sure that you system is properly configured you can try to build and run samples from the SDK

To generate make files for debug configuration, run the following CMake command from the engine's root folder:

cmake -H. -B./cmk_build/Linux64 -G "Unix Makefiles" -DCMAKE_BUILD_TYPE="Debug"

To build the engine, run the following command:

cmake --build ./cmk_build/Linux64

The engine's root folder contains Visual Studio Code settings files that configure the IDE to build the engine. You can run applications directly from the IDE. To run an application from the command line, the app's assets folder must be current directory.

Android

Please make sure that your machine is set up for Android development. Download Android Studio, Android NDK and other required tools. To verify that your environment is properly set up, try building teapots sample.

Open DiligentSamples/Android or UnityPlugin/Android folders with Android Studio to build and run the engine samples and Unity emulator on Android.

MacOS

After you clone the repo, run the following command from the engine's root folder to generate Xcode project (you need to have CMake installed on the system):

cmake -H. -B./cmk_build/MacOS -G "Xcode"

The project will be located in cmk_build/MacOS folder.

Configuring Vulkan Build Environment

By default there is no Vulkan implementation on MacOS. Diligent Engine links against Vulkan loader and can use a Vulkan Portability implementation such as MoltenVK or gfx-portability. Install VulkanSDK and make sure that your system is properly configured as described here. In particular, you may need to define the following environment variables (assuming that Vulkan SDK is installed at ~/LunarG/vulkansdk-macos and you want to use MoltenVK):

export VULKAN_SDK=~/LunarG/vulkansdk-macos/macOS
export PATH=$VULKAN_SDK/bin:$PATH
export DYLD_LIBRARY_PATH=$VULKAN_SDK/lib:$DYLD_LIBRARY_PATH
export VK_ICD_FILENAMES=$VULKAN_SDK/etc/vulkan/icd.d/MoltenVK_icd.json
export VK_LAYER_PATH=$VULKAN_SDK/etc/vulkan/explicit_layer.d

Note that environment variables set in the shell are not seen by the applications launched from Launchpad or other desktop GUI. Thus to make sure that an application finds Vulkan libraries, it needs to be started from the command line. Due to the same reason, the xcode project file should also be opened from the shell using open command. With Xcode versions 7 and later, this behavior may need to be enabled first using the following command:

defaults write com.apple.dt.Xcode UseSanitizedBuildSystemEnvironment -bool NO

Please refer to this page for more details.

iOS

Run the command below from the engine's root folder to generate Xcode project configured for iOS build (you need to have CMake installed on your Mac):

cmake -DCMAKE_TOOLCHAIN_FILE=DiligentCore/ios.toolchain.cmake -DIOS_PLATFORM=OS64 -H. -Bcmk_build/IOS -GXcode

Open Xcode project file in cmk_build/IOS folder and build the engine. To run the applications on an iOS device, you will need to set appropriate development team in the project settings.

Configuring Vulkan Build Environment

To enable Vulkan on iOS, download and install VulkanSDK. There is no Vulkan loader on iOS, and Diligent Engine links directly with MoltenVK dynamic library that implements Vulkan on Metal. Note that iOS simulator does not currently support Metal, and MoltenVK libraries are only available for arm64 architecture. To enable Vulkan in Diligent Engine on iOS, specify the path to Vulkan SDK when running CMake, for example (assuming that Vulkan SDK is installed at /LunarG/vulkansdk-macos):

cmake -DCMAKE_TOOLCHAIN_FILE=DiligentCore/ios.toolchain.cmake -DIOS_PLATFORM=OS64 -DIOS_ARCH=arm64 -DVULKAN_SDK=/LunarG/vulkansdk-macos -H. -Bcmk_build/IOS -GXcode

Xcode project cannot be completely configured by CMake. For every executable target, the following manual steps have to be performed:

Open Build Phases tab and add a new Copy Files phase.
Select Executables in the Destination list.
Drag MoltenVK/iOS/dynamic/libMoltenVK.dylib dynamic library from Vulkan SDK into the copy files list.
Make sure that Code Sign On Copy checkbox is marked.

Please refer to MoltenVK user guide for more details.

Integrating Diligent Engine with Existing Build System

Your Project Uses Cmake

If your project uses CMake, adding Diligent Engine requires just few lines of code. Suppose that the directory structure looks like this:

|
+-DiligentCore
+-HelloDiligent.cpp

Then the following steps need to be done:

Call add_subdirectory(DiligentCore)
Add DiligentCore to the list of include directories
Add dependencies on the targets implementing required rendering backends

Below is an example of a CMake file:

cmake_minimum_required (VERSION 3.6)

project(HelloDiligent CXX)

add_subdirectory(DiligentCore)

add_executable(HelloDiligent WIN32 HelloDiligent.cpp)
target_compile_options(HelloDiligent PRIVATE -DUNICODE -DENGINE_DLL)
target_include_directories(HelloDiligent PRIVATE "DiligentCore")

target_link_libraries(HelloDiligent
PRIVATE
    Diligent-GraphicsEngineD3D11-shared
    Diligent-GraphicsEngineOpenGL-shared
    Diligent-GraphicsEngineD3D12-shared
    Diligent-GraphicsEngineVk-shared
)
copy_required_dlls(HelloDiligent)

copy_required_dlls() is a convenience function that copies shared libraries next to the executable so that the system can find and load them. Alternatively, you can link against static (as well as shared) versions of libraries using target_link_libraries() command. In this case there is no need to explicitly add DiligentCore to the list of include directories as the targets export all required include paths. Please also take a look at getting started tutorials for Windows and Linux.

Your Project Does Not Use Cmake

If your project doesn't use CMake, it is recommended to build libraries with CMake and add them to your build system. For Windows platforms, you can download the latest build artifacts from appveyor.

Global CMake installation directory is controlled by CMAKE_INTALL_PREFIX variable. Within that directory, DILIGENT_CORE_INSTALL_DIR defines the subdirectory where libraries and headers are installed. Note that CMAKE_INTALL_PREFIX defaults to /usr/local on UNIX and c:/Program Files/${PROJECT_NAME} on Windows, which may not be what you want. Use -D CMAKE_INSTALL_PREFIX=install to use local install folder instead:

cmake -H. -B./cmk_build/Win64 -D CMAKE_INSTALL_PREFIX=install -G "Visual Studio 15 2017 Win64"

To install libraries and header files, run the following CMake command from the build folder:

cmake --build . --target install

DiligentCore installation directory will contain everything required to integrate the engine:

headers subdirectory will contain all required header files. Add this directory to your include search directories.
lib subdirectory will contain static libraries.
bin subdirectory will contain dynamic libraries.

An easier way is to link with dynamic libraries. When linking statically, you will need to list DiligentCore as well as all third-party libraries used by the engine. Besides that, you will also need to specify platform-specific system libraries. For example, for Windows platform, the list of libraries your project will need to link against may look like this:

DiligentCore.lib glslang.lib HLSL.lib OGLCompiler.lib OSDependent.lib spirv-cross-core.lib SPIRV.lib SPIRV-Tools-opt.lib SPIRV-Tools.lib glew-static.lib vulkan-1.lib dxgi.lib d3d11.lib d3d12.lib d3dcompiler.lib opengl32.lib

Vulkan libraries can be found in DiligentCore/External/vulkan/libs directory.

Diligent Engine headers require one of the following platform macros to be defined as 1: PLATFORM_WIN32, PLATFORM_UNIVERSAL_WINDOWS, PLATFORM_ANDROID, PLATFORM_LINUX, PLATFORM_MACOS, PLATFORM_IOS.

Another way to intergrate the engine is to generate build files (such as Visual Studio projects) and add them to your build system. Build customization described below can help tweak the settings for your specific needs.

Build Options

By default, all back-ends available on current platform are built. To disable specific back-ends, use the following options: DILIGENT_NO_DIRECT3D11, DILIGENT_NO_DIRECT3D12, DILIGENT_NO_OPENGL, DILIGENT_NO_VULKAN, DILIGENT_NO_METAL. The options can be set through cmake UI or from the command line as in the example below:

cmake -D DILIGENT_NO_DIRECT3D11=TRUE -H. -B./cmk_build/Win64 -G "Visual Studio 15 2017 Win64"

Additionally, individual engine components can be enabled or disabled using the following options: DILIGENT_BUILD_FX, DILIGENT_BUILD_SAMPLES, DILIGENT_BUILD_DEMOS, DILIGENT_BUILD_UNITY_PLUGIN, DILIGENT_BUILD_RENDER_SCRIPT.

By default Vulkan back-end is linked with glslang that enables compiling HLSL and GLSL shaders to SPIRV at run time. If run-time compilation is not required, glslang can be disabled with DILIGENT_NO_GLSLANG cmake option. This will significantly reduce the size of the Vulkan back-end binary.

Customizing Build

Diligent Engine allows clients to customize build settings by providing configuration script file that defines two optional cmake functions:

custom_configure_build() - defines global build properties such as build configurations, c/c++ compile flags, link flags etc.
custom_configure_target() - defines custom settings for every target in the build.

The path to the configuration script should be provided through BUILD_CONFIGURATION_FILE variable when running cmake and must be relative to the cmake root folder, for example:

cmake -D BUILD_CONFIGURATION_FILE=BuildConfig.cmake -H. -B./cmk_build/Win64 -G "Visual Studio 15 2017 Win64"

Customizing global build settings with custom_configure_build() function

If defined, custom_configure_build() function is called before any build target is added. By default, cmake defines the following four configurations: Debug, Release, RelWithDebInfo, MinSizeRel. If you want, you can define your own build configurations by setting CMAKE_CONFIGURATION_TYPES variable. For instance, if you want to have only two configuration: Debug and ReleaseMT, add the following line to the custom_configure_build() function:

set(CMAKE_CONFIGURATION_TYPES Debug ReleaseMT CACHE STRING "Configuration types: Debug, ReleaseMT" FORCE)

The build system needs to know the list of debug and release (optimized) configurations, so the following two variables must also be set when CMAKE_CONFIGURATION_TYPES variable is defined:

set(DEBUG_CONFIGURATIONS DEBUG CACHE INTERNAL "" FORCE)
set(RELEASE_CONFIGURATIONS RELEASEMT CACHE INTERNAL "" FORCE)

Note that due to cmake specifics, configuration names listed in DEBUG_CONFIGURATIONS and RELEASE_CONFIGURATIONS must be capitalized.

If you define any configuration other than four standard cmake ones, you also need to set the following variables, for every new configuration:

CMAKE_C_FLAGS_<Config> - c compile flags
CMAKE_CXX_FLAGS_<Config> - c++ compile flags
CMAKE_EXE_LINKER_FLAGS_<Config> - executable link flags
CMAKE_SHARED_LINKER_FLAGS_<Config> - shared library link flags

For instance:

set(CMAKE_C_FLAGS_RELEASEMT "/MT" CACHE INTERNAL "" FORCE)
set(CMAKE_CXX_FLAGS_RELEASEMT "/MT" CACHE INTERNAL "" FORCE)
set(CMAKE_EXE_LINKER_FLAGS_RELEASEMT "/OPT:REF" CACHE INTERNAL "" FORCE)
set(CMAKE_SHARED_LINKER_FLAGS_RELEASEMT "/OPT:REF" CACHE INTERNAL "" FORCE)

Below is an example of custom_configure_build() function:

function(custom_configure_build)
    if(CMAKE_CONFIGURATION_TYPES)
        # Debug configurations
        set(DEBUG_CONFIGURATIONS DEBUG CACHE INTERNAL "" FORCE)
        # Release (optimized) configurations
        set(RELEASE_CONFIGURATIONS RELEASEMT CACHE INTERNAL "" FORCE)
        # CMAKE_CONFIGURATION_TYPES variable defines build configurations generated by cmake
        set(CMAKE_CONFIGURATION_TYPES Debug ReleaseMT CACHE STRING "Configuration types: Debug, ReleaseMT" FORCE)

        set(CMAKE_CXX_FLAGS_RELEASEMT "/MT" CACHE INTERNAL "" FORCE)
        set(CMAKE_C_FLAGS_RELEASEMT "/MT" CACHE INTERNAL "" FORCE)
        set(CMAKE_EXE_LINKER_FLAGS_RELEASEMT "/OPT:REF" CACHE INTERNAL "" FORCE)
        set(CMAKE_SHARED_LINKER_FLAGS_RELEASEMT "/OPT:REF" CACHE INTERNAL "" FORCE)
    endif()
endfunction()

Customizing individual target build settings with custom_configure_target() function

If defined, custom_configure_target() is called for every target created by the build system and allows configuring target-specific properties.

By default, the build system sets some target properties. If custom_configure_target() sets all required properties, it can tell the build system that no further processing is required by setting TARGET_CONFIGURATION_COMPLETE parent scope variable to TRUE:

set(TARGET_CONFIGURATION_COMPLETE TRUE PARENT_SCOPE)

The following is an example of custom_configure_target() function:

function(custom_configure_target TARGET)
    set_target_properties(${TARGET} PROPERTIES
        STATIC_LIBRARY_FLAGS_RELEASEMT /LTCG
    )
    set(TARGET_CONFIGURATION_COMPLETE TRUE PARENT_SCOPE)   
endfunction()

Getting started with the API

Please refer to this page. Also, tutorials and samples listed below is a good place to start.

Tutorials

Tutorial	Screenshot	Description
01 - Hello Triangle		This tutorial shows how to render simple triangle using Diligent Engine API.
02 - Cube		This tutorial demonstrates how to render an actual 3D object, a cube. It shows how to load shaders from files, create and use vertex, index and uniform buffers.
03 - Texturing		This tutorial demonstrates how to apply a texture to a 3D object. It shows how to load a texture from file, create shader resource binding object and how to sample a texture in the shader.
04 - Instancing		This tutorial demonstrates how to use instancing to render multiple copies of one object using unique transformation matrix for every copy.
05 - Texture Array		This tutorial demonstrates how to combine instancing with texture arrays to use unique texture for every instance.
06 - Multithreading		This tutorial shows how to generate command lists in parallel from multiple threads.
07 - Geometry Shader		This tutorial shows how to use geometry shader to render smooth wireframe.
08 - Tessellation		This tutorial shows how to use hardware tessellation to implement simple adaptive terrain rendering algorithm.
09 - Quads		This tutorial shows how to render multiple 2D quads, frequently swithcing textures and blend modes.
10 - Data Streaming		This tutorial shows dynamic buffer mapping strategy using `MAP_FLAG_DISCARD` and `MAP_FLAG_DO_NOT_SYNCHRONIZE` flags to efficiently stream varying amounts of data to GPU.
11 - Resource Updates		This tutorial demonstrates different ways to update buffers and textures in Diligent Engine and explains important internal details and performance implications related to each method.
12 - Render Target		This tutorial demonstrates how to render a 3d cube into an offscreen render target and do a simple post-processing effect.

Samples

Sample	Screenshot	Description
AntTweakBar Sample		This sample demonstrates how to use AntTweakBar library to create simple user interface.
Atmosphere Sample		This sample demonstrates how to integrate Epipolar Light Scattering post-processing effect into an application to render physically-based atmosphere.
GLTF Viewer		This sample demonstrates how to use the Asset Loader and GLTF PBR Renderer to load and render GLTF models.

Demos

Project	Screenshot	Description
Asteroids Performance Benchmark		This demo is designed to be a performance benchmark and is based on this demo developed by Intel. It renders 50,000 unique textured asteroids. Every asteroid is a combination of one of 1000 unique meshes and one of 10 unique textures. The sample uses original D3D11 and D3D12 native implementations, and adds implementation using Diligent Engine API to allow comparing performance of different rendering modes.
Unity Integration Demo		This project demonstrates integration of Diligent Engine with Unity

High-Level Rendering Components

High-level rendering functionality is implemented by DiligentFX module. The following components are now available:

Epipolar light scattering post-effect

Tone mapping shader utilities

GLTF2.0 Loader and Physically-based renderer with image-based lighting.

Products using Diligent Engine

We would appreciate it if you could send us a link in case your product uses Diligent Engine.

Your product here (please submit a PR)!

License

See Apache 2.0 license.

This project has some third-party dependencies, each of which may have independent licensing:

Core module:
- SPIRV-Cross: SPIRV parsing and cross-compilation tools.
- SPIRV-Headers: SPIRV header files.
- SPIRV-Tools: SPIRV optimization and validation tools.
- glslang: Khronos reference compiler and validator for GLSL, ESSL, and HLSL.
- glew: OpenGL Extension Wrangler Library.
Tools module:
- libjpeg: C library for reading and writing JPEG image files.
- libtiff: TIFF Library and Utilities.
- libpng: Official PNG reference library.
- zlib: A compression library.
- lua: Lua programming language run time.
- tinygltf: A header only C++11 glTF 2.0 library.
Samples module:
- AntTweakBar: A simple user interface library.

Contributing

To contribute your code, submit a Pull Request to this repository. Diligent Engine is licensed under the Apache 2.0 license that guarantees that code in the DiligentEngine repository is free of Intellectual Property encumbrances. In submitting code to this repository, you are agreeing that the code is free of any Intellectual Property claims.

References

API Reference

Release History

See Release History

diligentgraphics.com

Name		Name	Last commit message	Last commit date
Latest commit History 687 Commits
.vscode		.vscode
Common		Common
DiligentCore @ 76a5492		DiligentCore @ 76a5492
DiligentFX @ 9bcc1e3		DiligentFX @ 9bcc1e3
DiligentSamples @ dd5ee5c		DiligentSamples @ dd5ee5c
DiligentTools @ b84bff8		DiligentTools @ b84bff8
Projects		Projects
Tests		Tests
unityplugin		unityplugin
.gitignore		.gitignore
.gitmodules		.gitmodules
.travis.yml		.travis.yml
CMakeLists.txt		CMakeLists.txt
License.txt		License.txt
README.md		README.md
ReleaseHistory.md		ReleaseHistory.md
appveyor.yml		appveyor.yml

License

gchihiha/DiligentEngine

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Diligent Engine

Features

High-level Rendering components

Supported Plaforms and Low-Level Graphics APIs

Table of Contents

Cloning the Repository

Repository Structure

Build and Run Instructions

Win32

Universal Windows Platform

Linux

Android

MacOS

Configuring Vulkan Build Environment

iOS

Configuring Vulkan Build Environment

Integrating Diligent Engine with Existing Build System

Your Project Uses Cmake

Your Project Does Not Use Cmake

Build Options

Customizing Build

Customizing global build settings with custom_configure_build() function

Customizing individual target build settings with custom_configure_target() function

Getting started with the API

Tutorials

Samples

Demos

High-Level Rendering Components

Products using Diligent Engine

License

Contributing

References

Release History

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